meka.classifiers.multilabel.incremental

Class IncrementalEvaluation

java.lang.Object

meka.classifiers.multilabel.incremental.IncrementalEvaluation

public class IncrementalEvaluation
extends java.lang.Object

IncrementalEvaluation.java - For Evaluating Incremental (Updateable) Classifiers.

Version:

Feb 2013

Author:

Jesse Read

Constructor Summary

Constructors

Constructor and Description
IncrementalEvaluation()

Method Summary

Methods

Modifier and Type	Method and Description
static Result[]	evaluateModel(MultilabelClassifier h, weka.core.Instances D) EvaluateModel - over 20 windows.
static Result[]	evaluateModel(MultilabelClassifier h, weka.core.Instances D, int numWindows, double rLabeled, java.lang.String Top, java.lang.String Vop) EvaluateModel - Evaluate a multi-label data-stream model over a moving window.
static Result	evaluateModel(MultilabelClassifier h, java.lang.String[] options) EvaluateModel - Build and evaluate.
static void	printOptions(java.util.Enumeration e)
static void	runExperiment(MultilabelClassifier h, java.lang.String[] args) RunExperiment - Build and evaluate a model with command-line options.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

IncrementalEvaluation

public IncrementalEvaluation()

Method Detail

runExperiment

public static void runExperiment(MultilabelClassifier h,
                 java.lang.String[] args)

RunExperiment - Build and evaluate a model with command-line options.

Parameters:

h - a multi-label updateable classifier

args - classifier + dataset options

evaluateModel

public static Result evaluateModel(MultilabelClassifier h,
                   java.lang.String[] options)
                            throws java.lang.Exception

EvaluateModel - Build and evaluate.

Parameters:

h - a multi-label updateable classifier

options - dataset options (classifier options should already be set)

Returns:

The evaluation Result

Throws:

java.lang.Exception

evaluateModel

public static Result[] evaluateModel(MultilabelClassifier h,
                     weka.core.Instances D)
                              throws java.lang.Exception

EvaluateModel - over 20 windows.

Throws:

java.lang.Exception

evaluateModel

public static Result[] evaluateModel(MultilabelClassifier h,
                     weka.core.Instances D,
                     int numWindows,
                     double rLabeled,
                     java.lang.String Top,
                     java.lang.String Vop)
                              throws java.lang.Exception

EvaluateModel - Evaluate a multi-label data-stream model over a moving window. The window is sampled every N/numWindows instances, for a total of numWindows windows.

Throws:

java.lang.Exception

printOptions

public static void printOptions(java.util.Enumeration e)